Business Analytics Consultant

PNC Bank•Pittsburgh, PA

18h•Onsite

About The Position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Business Analytics Consultant within PNC's Finance organization, you will be based in Pittsburgh, PA; Birmingham, AL; or Cleveland, OH. As a Business Analytics Consultant, you will support key segments including premier client services, wealth management, and consumer lending. This is a highly visible role offering direct exposure to senior finance leaders and retail and wealth management executives, where your insights will help drive strategic decisions and business performance. In this role, you will leverage SQL, SAS, and other coding languages to extract and analyze data for monthly reporting, ad hoc analyses, business cases, and ongoing data research. You will modify existing code and develop new processes to meet evolving data needs, ensuring accuracy, scalability, and efficiency. A key responsibility includes integrating and transforming complex datasets into meaningful views and actionable insights. You will design and deliver impactful data visualizations and reports using tools such as Tableau and Excel, ensuring optimal performance with large datasets. Additionally, you will build dynamic financial models to support business initiatives and evaluate strategic opportunities. Collaboration is critical in this role—you will partner with finance teams, data analysts, and modelers across the organization to enhance data capabilities, recommend data field improvements, and promote best practices. You will also identify opportunities to streamline processes, improve scalability, and implement strong controls and validation measures to maintain data integrity. The ideal candidate brings strong financial and analytical expertise, including experience in financial modeling, accounting principles, and data analysis. Proficiency in SQL, SAS, or similar programming languages, along with experience in Tableau and Excel, is essential. Success in this role requires strong problem-solving skills, attention to detail, and the ability to clearly communicate complex data insights to both technical and non-technical stakeholders.

Requirements

Strong financial and analytical skills, including knowledge of accounting, Excel, financial modeling, and data analysis.
Proficiency in SQL, SAS, or similar programming languages.
Experience with data visualization tools such as Tableau and Excel.
Strong problem-solving skills, with the ability to break down complex coding challenges and data gaps.
Demonstrated ability to collaborate effectively in a team environment.
Strong communication skills, with the ability to clearly explain concepts, methodologies, and findings.
Highly detail-oriented, with a focus on accuracy and maintaining data integrity.
University / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Analytical Thinking
Business Intelligence (BI)
Concept Development
Data-Driven Decision Making
Data Integration
Market Research
Performance Metrics
Qualitative Research
Strategic Planning

Responsibilities

Utilize SQL, SAS, or other programming languages to extract and analyze data for monthly reporting, business cases, ad hoc analyses, and data research initiatives.
Modify existing code and develop new processes to support evolving data needs and improve efficiency.
Present data effectively through Tableau, Excel, and SQL, ensuring optimal performance with large and complex datasets.
Collaborate with data analysts, modelers, and cross-functional finance teams to enhance data capabilities, share best practices, and recommend data field improvements.
Develop dynamic financial models to support business cases and inform strategic decision-making.
Identify opportunities to streamline processes, improve scalability, and increase automation.
Implement and maintain strong data controls, validation processes, and quality checks to ensure data integrity.
Leverages analytical tools to provide business and technical expertise for the analytics process, tools and applications for a business function or business unit to create data driven solutions.
Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics.
Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions.
Providing business clients with detailed, actionable reports documenting the findings from, data processing, and data analysis.
Consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service